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    <title>ftest</title>
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    <div align="right">Last update : July 2000</div>
    <p>
      <b>ftest</b> -  Fischer ratio</p>
    <h3>
      <font color="blue">Calling Sequence</font>
    </h3>
    <dl>
      <dd>
        <tt>f=ftest(samples)  </tt>
      </dd>
      <dd>
        <tt>[f,p]=ftest(samples)  </tt>
      </dd>
    </dl>
    <h3>
      <font color="blue">Parameters</font>
    </h3>
    <ul>
      <li>
        <tt>
          <b>samples</b>
        </tt>: real or complex matrix of type nr X nc</li>
    </ul>
    <h3>
      <font color="blue">Description</font>
    </h3>
    <p>
      <tt>
        <b> f=ftest(samples) </b>
      </tt> computes the Fischer ratio of the
    nc samples whose  values are in the columns  of the matrix
    <tt>
        <b>samples</b>
      </tt>. Each one of these samples is composed of nr
    values. (The  Fischer ratio is the ratio  between nr times
    the  variance of  the means  of  samples and  the mean  of
    variances of each sample)</p>
    <p>
      <tt>
        <b> [f,p]=ftest(samples) </b>
      </tt> gives in p the p-value of the
    computed Fischer ratio f.</p>
    <h3>
      <font color="blue">References</font>
    </h3>
    <dl>
      <p>
    Wonacott, T.H. &amp;  Wonacott, R.J.; Introductory Statistics, J.Wiley &amp; Sons, 1990.</p>
    </dl>
    <h3>
      <font color="blue">Examples</font>
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    <pre>

samples=[46 55 54;
         53 54 50; 
         49 58 51;
         50 61 51;
         46 52 49]
[f,p]=ftest(samples)
 
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    <h3>
      <font color="blue">See Also</font>
    </h3>
    <p>
      <a href="ftuneq.htm">
        <tt>
          <b>ftuneq</b>
        </tt>
      </a>,&nbsp;&nbsp;</p>
    <h3>
      <font color="blue">Author</font>
    </h3>
    <p> Carlos Klimann</p>
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